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MatthisHoules
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checkpoints

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
MatthisHoules commited on
Commit
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End of training

Browse files
Files changed (8) hide show
  1. README.md +67 -0
  2. config.json +61 -0
  3. generation_config.json +7 -0
  4. pytorch_model.bin +3 -0
  5. special_tokens_map.json +107 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +111 -0
  8. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: t5-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: checkpoints
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # checkpoints
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+
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1363
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 2
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - training_steps: 20000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.6612 | 0.23 | 500 | 0.3126 |
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+ | 0.3142 | 0.46 | 1000 | 0.2436 |
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+ | 0.2439 | 0.69 | 1500 | 0.2003 |
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+ | 0.2004 | 0.92 | 2000 | 0.1803 |
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+ | 0.1602 | 1.16 | 2500 | 0.1616 |
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+ | 0.1417 | 1.39 | 3000 | 0.1579 |
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+ | 0.1332 | 1.62 | 3500 | 0.1478 |
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+ | 0.1331 | 1.85 | 4000 | 0.1351 |
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+ | 0.1149 | 2.08 | 4500 | 0.1363 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ "classifier_dropout": 0.0,
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+ "d_ff": 3072,
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+ "d_kv": 64,
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+ "d_model": 768,
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+ "dense_act_fn": "relu",
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+ "is_encoder_decoder": true,
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+ "is_gated_act": false,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "n_positions": 512,
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+ "num_decoder_layers": 12,
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+ "num_heads": 12,
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+ "num_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "task_specific_params": {
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+ "summarization": {
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+ "early_stopping": true,
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+ "translation_en_to_de": {
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+ "num_beams": 4,
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+ "prefix": "translate English to German: "
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+ "translation_en_to_fr": {
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+ "num_beams": 4,
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+ "prefix": "translate English to French: "
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+ "translation_en_to_ro": {
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+ "num_beams": 4,
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+ "prefix": "translate English to Romanian: "
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+ "transformers_version": "4.32.1",
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+ }
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